This data set consists of portions of two Landsat Enhanced Thematic Mapper scenes which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. The data were field validated to produce a land cover inventory for the island of Oahu, Hawaii. If you wish to create an attribute table to identify the different land cover classifications, an easy reference table is available under the Process_Description section.
NOAA: Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or representations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Additional Use Constraints: None
Pre-Processing Steps: Reprojected from Albers Equal Area Conic to UTM NAD 1983
Ancillary data sets: MAjor and Minor Roads from HI DNLR, Wetlands from HI DNLR, 10 meter DEM from USGS, 1-3 meter black/white 1997 DOQ data derived from multiple sources, Agricultural Lands from HI DNLR.
Shoreline features can be extracted from Landsat images by detecting the land/water interface. However, care must be used to avoid misinterpreting tidal differences as changes in shorelines, since the satellite images from which these land cover images are derived and acquired at different tidal stages, depending on when the satellite is overhead. The land cover classifications represent the instantaneous state of the shoreline at the moment of image acquisition. C-CAP data are mapped at 1:100,000 scale with 22 standard classes constituting major landscape components. They are not jurisdictional (can't be used for permitting) and will not identify individual species. However, they are useful for identifying regional landscape patterns, major functional niches, environmental impact assessment, urban planning, and zoning applications. If you need change analysis data at this scale, C-CAP may be your only option. C-CAP is designed around a 1 to 5 year revisit cycle. Land Cover is the complete human and natural landscape recorded as surface components - forest, water, wetlands, concrete, asphalt, etc. Land cover can be documented by analyzing spectral signatures of satellite and aerial imagery. Land Use is the documentation of human uses of the landscape - residential, commercial, agricultural, etc. Land use can be inferred but, not explicitly derived from satellite and aerial imagery. There is no spectral basis for land use determination in satellite imagery. C-CAP data can be used to identify concrete and asphalt as land cover, but we can only infer that these materials denote a residential or commercial use.
Post-Processing Steps: None
Known Problems: The combination of tropical latitudes, steep topography, and large bodies of open water contribute to frequent cloud cover in the Hawaiian Islands. While ETM imagery was selected to minimize the amount of cloud cover, multiple scene dates were still required to map each island. In some cases no clear imagery was available for portions of the land surface, therefore an unclassified category is included. Accuracy Results:
This data set was found to be 94.9% accurate with a kappa coefficient of agreement equal to .94
Attribute Table 0 Background 1 Unclassified 2 High Intensity Developed 3 Low Intensity Developed 4 Cultivated Land 5 Grassland 6 Deciduous Forest 7 Evergreen Forest 8 Mixed Forest 9 Scrub/Shrub 10 Palustrine Forested Wetland 11 Palustrine Scrub/Shrub Wetland 12 Palustrine Emergent Wetland 13 Estuarine Forested Wetland 14 Estuarine Scrub/Shrub Wetland 15 Estuarine Emergent Wetland 16 Unconsolidated Shore 17 Bare Land 18 Water 19 Palustrine Aquatic Bed 20 Estuarine Aquatic Bed 21 Tundra 22 Snow/Ice